Machine Learning Engineer II (AI/ML)

TL;DR

Machine Learning Engineer II (AI/ML): Building foundational machine learning systems and frameworks to power next-generation financial products with an accent on ML model lifecycles and scalable feature pipelines. Focus on implementing MLOps best practices, deploying production-ready ML systems, and collaborating across domains like Treasury and Identity & Trust.

Location: Hybrid in Burnaby, BC, Canada (in-office expectation of at least 50% of the time monthly)

Salary: $132,000 – $165,000

Company

A global financial services company providing secure and reliable ways to move and manage money across 170+ countries.

What you will do

• Implement and maintain ML models across the full lifecycle from data exploration and feature engineering to deployment.
• Design and scale feature pipelines for batch and real-time ML applications.
• Collaborate with data scientists and product owners to transform prototypes into reliable, customer-facing ML systems.
• Optimize models and pipelines using MLOps best practices, including automated retraining, drift detection, and CI/CD.
• Contribute to technical discussions and design reviews to improve team practices and system architecture.

Requirements

• Degree in Computer Science, Data Science, Statistics, Mathematics, or equivalent practical experience.
• 2+ years of experience delivering Machine Learning systems in production.
• Strong programming skills in Python, Go, Scala, or a similar language.
• Hands-on experience with ML frameworks such as PyTorch, scikit-learn, and numpy.
• Experience working with major cloud platforms (AWS, GCP, or Azure).
• Must be based in or able to work hybrid in Burnaby, BC.

Nice to have

• Experience with Deep Learning algorithms or Large Language Models (LLMs).
• Knowledge of Causal Inference, Personalization, or Knowledge Graphs.
• Expertise in Natural Language Processing (NLP).

Culture & Benefits

• Four weeks of vacation and comprehensive health, mental health, and family forming benefits.
• RRSP plan with company match and Employee Stock Purchase Plan (ESPP).
• Continuing education and travel benefits.
• Life insurance and disability coverage.
• Connected Work Culture emphasizing dynamic in-person collaboration and meaningful overlap.